IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v34y2022i3p273-293.html
   My bibliography  Save this article

Simultaneous supply and demand constraints in input–output networks: the case of Covid-19 in Germany, Italy, and Spain

Author

Listed:
  • Anton Pichler
  • J. Doyne Farmer

Abstract

Natural and anthropogenic disasters frequently affect both the supply and demand sides of an economy. A striking recent example is the Covid-19 pandemic which has created severe disruptions to economic output in most countries. These direct shocks to supply and demand will propagate downstream and upstream through production networks. Given the exogenous shocks, we derive a lower bound on total shock propagation. We find that even in this best case scenario network effects substantially amplify the initial shocks. To obtain more realistic model predictions, we study the propagation of shocks bottom-up by imposing different rationing rules on industries if they are not able to satisfy incoming demand. Our results show that economic impacts depend strongly on the emergence of input bottlenecks, making the rationing assumption a key variable in predicting adverse economic impacts. We further establish that the magnitude of initial shocks and network density heavily influence model predictions.

Suggested Citation

  • Anton Pichler & J. Doyne Farmer, 2022. "Simultaneous supply and demand constraints in input–output networks: the case of Covid-19 in Germany, Italy, and Spain," Economic Systems Research, Taylor & Francis Journals, vol. 34(3), pages 273-293, July.
  • Handle: RePEc:taf:ecsysr:v:34:y:2022:i:3:p:273-293
    DOI: 10.1080/09535314.2021.1926934
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09535314.2021.1926934
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09535314.2021.1926934?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Henriet, Fanny & Hallegatte, Stéphane & Tabourier, Lionel, 2012. "Firm-network characteristics and economic robustness to natural disasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 150-167.
    2. Sebastian Poledna & Stefan Hochrainer-Stigler & Michael Gregor Miess & Peter Klimek & Stefan Schmelzer & Johannes Sorger & Elena Shchekinova & Elena Rovenskaya & JoAnne Linnerooth-Bayer & Ulf Dieckman, 2018. "When does a disaster become a systemic event? Estimating indirect economic losses from natural disasters," Papers 1801.09740, arXiv.org.
    3. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Bonadio, Barthélémy & Huo, Zhen & Levchenko, Andrei A. & Pandalai-Nayar, Nitya, 2021. "Global supply chains in the pandemic," Journal of International Economics, Elsevier, vol. 133(C).
    5. Elco E. Koks & Mark Thissen, 2016. "A Multiregional Impact Assessment Model for disaster analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 429-449, October.
    6. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    7. Harald Fadinger & Jan Schymik, 2020. "The Effects of Working From Home on COVID-19 Infections and Production - A Macroeconomic Analysis for Germany," CRC TR 224 Discussion Paper Series crctr224_2020_167, University of Bonn and University of Mannheim, Germany.
    8. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    9. Jan Oosterhaven & Maaike C. Bouwmeester, 2016. "A New Approach To Modeling The Impact Of Disruptive Events," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 583-595, September.
    10. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.
    11. Marta Fana & Songul Tolan & Sergio Torrejon Perez & Maria Cesira Urzi Brancati & Enrique Fernandez Macias, 2020. "The COVID confinement measures and EU labour markets," JRC Research Reports JRC120578, Joint Research Centre.
    12. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    13. Andre F. T. Avelino & Sandy Dall'erba, 2019. "Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 85-104, January.
    14. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of the economic impact through supply chains: The case of a mega-city lockdown against the spread of COVID-19," Papers 2003.14002, arXiv.org.
    15. Louis De Mesnard, 2009. "Is The Ghosh Model Interesting?," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 361-372, May.
    16. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    17. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 94-137.
    18. repec:rre:publsh:v:34:y:2004:i:1:p:57-71 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    2. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Tommaso Ferraresi & Leonardo Ghezzi, 2022. "A regional Input-Output model of the Covid-19 crisis in Italy: decomposing demand and supply factors," LEM Papers Series 2022/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Betty Agnani & Ana Isabel Guerra & Ferran Sancho, 2023. "An index of static resilience in interindustry economics," ThE Papers 23/09, Department of Economic Theory and Economic History of the University of Granada..
    4. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    5. Tijs W. Alleman & Koen Schoors & Jan M. Baetens, 2023. "Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium," Papers 2305.16377, arXiv.org, revised Jan 2024.
    6. Adelar Fochezatto & Eduardo Rodrigues Sanguinet & Patricia Batistela & Rodrigo Valdes, 2023. "Income Leakage Regional Effects: Supply and Demand Shocks during the Pandemic in Brazil and Chile," Geographies, MDPI, vol. 3(4), pages 1-19, October.
    7. Matteo Trabucco & Pietro De Giovanni, 2021. "Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    8. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    9. Christian Diem & Andr'as Borsos & Tobias Reisch & J'anos Kert'esz & Stefan Thurner, 2021. "Quantifying firm-level economic systemic risk from nation-wide supply networks," Papers 2104.07260, arXiv.org.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2020. "In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model," INET Oxford Working Papers 2021-18, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2021.
    2. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Anton Pichler & Marco Pangallo & R. Maria del Rio-Chanona & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Production networks and epidemic spreading: How to restart the UK economy?," Papers 2005.10585, arXiv.org.
    4. Giammetti, Raffaele & Papi, Luca & Teobaldelli, Désirée & Ticchi, Davide, 2022. "The optimality of age-based lockdown policies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 722-738.
    5. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Qianxue Zhang, 2022. "The Hubei lockdown and its global impacts via supply chains," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1087-1109, September.
    7. Hiroyasu Inoue, 2021. "Propagation of International Supply-Chain Disruptions between Firms in a Country," JRFM, MDPI, vol. 14(10), pages 1-14, October.
    8. Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2022. "Assessing the Economic Impact of Lockdowns in Italy: A Computational Input–Output Approach [Nonlinear Production Networks with an Application to the Covid-19 Crisis]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 358-409.
    9. Gottlieb, Charles & Grobovšek, Jan & Poschke, Markus & Saltiel, Fernando, 2021. "Working from home in developing countries," European Economic Review, Elsevier, vol. 133(C).
    10. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    11. Anna Tokarz-Kocik & Anna Bera & Karolina Drela & Agnieszka Malkowska, 2023. "The Impact of the COVID-19 Pandemic on the Labour Market in the Hotel Industry: Selected Conditions in Poland," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    12. Lazebnik, Teddy & Shami, Labib & Bunimovich-Mendrazitsky, Svetlana, 2023. "Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    13. INOUE Hiroyasu & MURASE Yohsuke & TODO Yasuyuki, 2022. "Lockdowns Require Geographic Coordination because of the Propagation of Economic Effects through Supply Chains," Discussion papers 22076, Research Institute of Economy, Trade and Industry (RIETI).
    14. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 431-451, October.
    15. Rui Huang & Arunima Malik & Manfred Lenzen & Yutong Jin & Yafei Wang & Futu Faturay & Zhiyi Zhu, 2022. "Supply-chain impacts of Sichuan earthquake: a case study using disaster input–output analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2227-2248, February.
    16. Alvaro Espitia & Aaditya Mattoo & Nadia Rocha & Michele Ruta & Deborah Winkler, 2022. "Pandemic trade: COVID‐19, remote work and global value chains," The World Economy, Wiley Blackwell, vol. 45(2), pages 561-589, February.
    17. Pradeep V. Mandapaka & Edmond Y. M. Lo, 2023. "Assessing Shock Propagation and Cascading Uncertainties Using the Input–Output Framework: Analysis of an Oil Refinery Accident in Singapore," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    18. Eppinger, Peter S. & Felbermayr, Gabriel & Krebs, Oliver & Kukharskyy, Bohdan, 2020. "Covid-19 shocking global value chains," Kiel Working Papers 2167, Kiel Institute for the World Economy (IfW Kiel).
    19. Alipour, Jean-Victor & Falck, Oliver & Schüller, Simone, 2023. "Germany’s capacity to work from home," European Economic Review, Elsevier, vol. 151(C).
    20. Muhammed A. Yildirim & Cem Cakmakli & Selva Demiralp & Sebnem Kalemli-Ozcan & Sevcan Yesiltas, 2021. "The Economic Case for Global Vaccinations: An Epidemiological Model with International Production Networks," CID Working Papers 390, Center for International Development at Harvard University.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ecsysr:v:34:y:2022:i:3:p:273-293. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CESR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.